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Conference Paper: Modeling and coordinated control for integrating electric vehicles into the power grid

TitleModeling and coordinated control for integrating electric vehicles into the power grid
Authors
KeywordsCo-ordinated control
Controllable loads
Driving pattern
Hierarchical structures
Optimal algorithm
Issue Date2011
PublisherIEEE.
Citation
The 2011 International Conference on Electrical Machines and Systems (ICEMS 2011), Beijing, China, 20-23 August 2011. In Proceedings of ICEMS, 2011, p. 1-6 How to Cite?
AbstractThis paper introduces a framework for the integration of renewable energy generation units and electric vehicle into smart grid, which takes into account the setting up of the PHEV recharging infrastructure and modern power system. The impact of recharging a large amount of PHEVs on the existing power system is estimated considering the PHEV characteristics and the driving pattern of the vehicle owners. Three scenarios for uncontrolled and controlled charging are derived to investigate the impact in terms of power quality. The simulation results show the necessity to coordinate the PHEV recharging with the power network condition. Therefore an optimal algorithm is also designed to minimize the power losses based on the hierarchical structure of the proposed framework. The aggregation of PHEVs is expected to act as a controllable load or resource. Both of the battery charging and discharging are comprised in the optimal algorithm to achieve better performance in the V2G operation. © 2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/158758
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorGao, Sen_US
dc.contributor.authorChau, KTen_US
dc.contributor.authorWu, Den_US
dc.contributor.authorChan, CCen_US
dc.date.accessioned2012-08-08T09:01:12Z-
dc.date.available2012-08-08T09:01:12Z-
dc.date.issued2011en_US
dc.identifier.citationThe 2011 International Conference on Electrical Machines and Systems (ICEMS 2011), Beijing, China, 20-23 August 2011. In Proceedings of ICEMS, 2011, p. 1-6en_US
dc.identifier.isbn9781457710445-
dc.identifier.urihttp://hdl.handle.net/10722/158758-
dc.description.abstractThis paper introduces a framework for the integration of renewable energy generation units and electric vehicle into smart grid, which takes into account the setting up of the PHEV recharging infrastructure and modern power system. The impact of recharging a large amount of PHEVs on the existing power system is estimated considering the PHEV characteristics and the driving pattern of the vehicle owners. Three scenarios for uncontrolled and controlled charging are derived to investigate the impact in terms of power quality. The simulation results show the necessity to coordinate the PHEV recharging with the power network condition. Therefore an optimal algorithm is also designed to minimize the power losses based on the hierarchical structure of the proposed framework. The aggregation of PHEVs is expected to act as a controllable load or resource. Both of the battery charging and discharging are comprised in the optimal algorithm to achieve better performance in the V2G operation. © 2011 IEEE.en_US
dc.languageengen_US
dc.publisherIEEE.-
dc.relation.ispartofInternational Conference on Electrical Machines and Systems Proceedingsen_US
dc.rightsInternational Conference on Electrical Machines and Systems Proceedings. Copyright © IEEE.-
dc.rights©2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectCo-ordinated control-
dc.subjectControllable loads-
dc.subjectDriving pattern-
dc.subjectHierarchical structures-
dc.subjectOptimal algorithm-
dc.titleModeling and coordinated control for integrating electric vehicles into the power griden_US
dc.typeConference_Paperen_US
dc.identifier.emailGao, S: sgao@eee.hku.hken_US
dc.identifier.emailChau, KT: ktchau@eee.hku.hk-
dc.identifier.emailChan, CC: ccchan@hkucc.hku.hk-
dc.identifier.authorityChau, KT=rp00096en_US
dc.description.naturepublished_or_final_versionen_US
dc.identifier.doi10.1109/ICEMS.2011.6073715en_US
dc.identifier.scopuseid_2-s2.0-83355175559en_US
dc.identifier.hkuros208228-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-83355175559&selection=ref&src=s&origin=recordpageen_US
dc.identifier.spage1-
dc.identifier.epage6-
dc.publisher.placeUnited States-
dc.description.otherThe 2011 International Conference on Electrical Machines and Systems (ICEMS 2011), Beijing, China, 20-23 August 2011. In Proceedings of ICEMS, 2011, p. 1-6-
dc.identifier.scopusauthoridChan, CC=7404813179en_US
dc.identifier.scopusauthoridWu, D=37085587600en_US
dc.identifier.scopusauthoridChau, KT=7202674641en_US
dc.identifier.scopusauthoridGao, S=37085200400en_US

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